Fulcra's annotation system lets you tag meals, supplements, symptoms, moods, and anything else — then correlate it with your biometric data to find patterns unique to you.
An annotation is a timestamped note you attach to your data. Tap the "+" button in Context, type what happened — a meal, a supplement, a stressful meeting, a great night's sleep — and Fulcra pins it to your timeline. Over time, these tags become the key to understanding what moves your metrics.
Log what you eat and when. Fulcra overlays your meal annotations on glucose curves, energy levels, and sleep data to reveal which foods fuel you — and which don’t.
Track when you take supplements, medications, or caffeine. Compare timing and dosage against HRV, sleep quality, and recovery to see what’s actually working.
Note headaches, fatigue, anxiety, or energy spikes. When patterns emerge across days and weeks, you’ll see what triggers them — and what resolves them.
Power users develop tagging systems that make correlation discovery effortless. Use consistent naming conventions, combine tags for multi-variable tracking, and leverage Fulcra's AI to surface patterns you might miss.
Use standardized tags like "coffee," "magnesium," or "meditation" so Fulcra can group and compare them automatically. Consistency turns scattered notes into structured data.
Combine context in a single annotation: "late dinner + alcohol + poor sleep." This lets you and Fulcra’s AI identify compound effects that single-variable tracking misses.
Fulcra’s AI scans your annotations alongside biometric data to surface correlations. Ask questions like “How does caffeine after 2pm affect my sleep?” and get answers grounded in your own data.
See how real users leverage annotations to unlock insights across their health data. Each workflow combines simple tagging with Fulcra’s correlation engine to answer questions that matter.
Tag each supplement with timing and dosage. After 30 days, ask Fulcra’s AI: “Which supplements correlate with my best HRV scores?” Get answers backed by your own biometric data.
Annotate bedroom changes — temperature, blackout curtains, white noise, late screens. Correlate with deep sleep percentage and sleep latency to find your optimal setup.
Log workout intensity, type, and duration. Cross-reference with next-day HRV, resting heart rate, and energy annotations to dial in your training-to-recovery ratio.
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